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Extended probabilistic climatology (EPC), as a reference forecast for precipitation in the tropics (Version 2)

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DataCite Commons2023-11-15 更新2025-04-16 收录
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https://radar.kit.edu/radar/en/dataset/YRTtyvRKzSGgWOMS
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资源简介:
Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: https://doi.org/10.5067/GPM/IMERG/3B-HH/06) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Details: Walz et al. (2021, doi: https://doi.org/10.1175/WAF-D-20-0233.1) Reference: The research leading to these results has been accomplished within project C2 "Statistical-dynamical forecasts of tropical rainfall" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).
提供机构:
Karlsruhe Institute of Technology
创建时间:
2023-06-22
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